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Modelling the spatial and temporal distribution of tsetse flies for targeted control

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Résumé fourni par la source

The control of tsetse flies, the sole biological vector of African trypanosomiasis, is crucial in efforts to eradicate and eventually eliminate the disease they transmit in Sub-Saharan Africa. Although methods for reducing tsetse populations are known, their effective implementation is often hindered by insufficient or unreliable information about tsetse distribution or numbers, which can hamper identifying priority areas for control. In this research, freely available satellite data and in-situ tsetse observations are used for sites in Kenya and Rwanda to 1) identify potential tsetse breeding and foraging sites; 2) assess the transferability of tsetse habitat models between geographically separated regions; 3) identify optimal locations and timing for targeted control based on temporal tsetse abundance dynamics; and 4) upscale spatial predictions of tsetse abundance to a national level using geographically-constrained tsetse counts. The findings in this thesis show that environmental data allow to accurately identify the spatial distribution of young tsetse flies, representative of potential breeding sites. Furthermore, it was found that tsetse habitat models can effectively be transferred between environmentally similar regions, which can offer a cost-effective means to understand tsetse habitats in data-scarce areas. The thesis shows that periods with increased rainfall result in tsetse population spikes. For example, in Shimba Hills, tsetse numbers rise after a month of increased rainfall. As a high tsetse population is likely to result in increased contact rates with livestock and, subsequently, an increased risk of AAT, this information can assist policymakers in determining when to control the flies and when prophylaxis may be more effective. For upscaling tsetse abundance predictions nationally, limitations arise when the in-situ tsetse data used do not cover all environmental conditions, stressing the need and indicating priority areas for additional sampling efforts. This research identifies factors affecting tsetse occurrences and numbers in changing environments but an essential aspect of the disease itself remains unaddressed. Therefore, I emphasize the need for further research to integrate the dynamics of tsetse flies and the diseases they transmit, which is crucial for providing more effective guidance on control measures and ultimately eradication of African trypanosomiasis.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Modelling the spatial and temporal distribution of tsetse flies for targeted control
Date Crossref
12/03/2024
Éditeur
University Library/University of Twente
Type
dissertation

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Sujets associés

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